Toptal stabilizes data analytics platform for leading software developer
The technology company faced challenges with its unstable data analytics platform, impacting reliability and performance.
Client
A global AI and data analytics software company helping teams automate analytics workflows and drive faster decisions.
Employees
Industry
TechnologyDelivered Services
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The data analytics platform experienced frequent crashes without error logs, hindering effective troubleshooting. The absence of separate development and production environments complicated the development of new features.
Solution
Meticulous Logging
Toptal fortified the Python program to catch edge cases and added extensive logging mechanisms to ease the troubleshooting process.
Automated Workflows
Toptal introduced automated workflows to analyze errors, send automated error emails, and separate development and production environments for safer feature testing.
Outcome
Enhanced Stability
The solutions dramatically improved platform stability, allowing the company to rely on its data analytics platform with minimal support.
Streamlined Development
Separating environments facilitated smoother feature development. Developers could work on new features without disrupting operations, increasing efficiency.
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